Three major improvements for workflow templates:
1. **Normalized Signal Placeholders:**
- Signals now available as {{ node_4.signal_kalorienbilanz }}
- Uses normalized_value (not raw decision_signals)
- Enables structured decision-based outputs
2. **Question Text Placeholders:**
- Question texts available as {{ node_4.question_kalorienbilanz }}
- Extracted from workflow graph (question_augmentations)
- Allows displaying questions alongside answers
3. **Clean End Node Output:**
- End Node output no longer duplicated with "## node_4" headers
- aggregate_results() detects End Nodes via graph.nodes
- Only shows final template-rendered output
- Backward compatible: Falls back to combined_analysis if no End Node
Backend workflow_executor.py:
- execute_end_node(): Added normalized signals to template context
- execute_end_node(): Added question texts to template context
- execute_workflow(): Added graph to context for End Node access
- aggregate_results(): Signature change to accept graph
- aggregate_results(): Detects End Nodes and uses only their output
Frontend WorkflowResultViewer.jsx:
- Now uses aggregated.analysis_core (primary output)
- Removed fallback to combined_analysis (was showing duplicates)
Example Template:
```jinja2
**Frage:** {{ node_4.question_kalorienbilanz }}
**Antwort:** {{ node_4.signal_kalorienbilanz }}
---
{{ node_4.analysis_core }}
```
Issue: Signal placeholders empty, question texts unavailable, duplicate output
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - Complete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Root Cause:
- WorkflowResultViewer tried to render NormalizedSignal objects directly
- React Error #31: "Objects are not valid as a React child"
- Caused white screen crash after workflow execution
Frontend WorkflowResultViewer.jsx:
- Fixed signal rendering in "All Signals" section
- Now displays: question_type: normalized_value (status)
- Proper formatting for signal objects
Before:
• {signal} ❌ renders [object Object]
After:
• protein_intake: optimal (valid) ✅
Impact:
- Workflow execution no longer crashes the UI
- Signals are properly displayed
- Users can see normalized decision signals
Issue: White screen after workflow execution
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - UI Fix
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Root Cause:
- Frontend serialized as "questions"
- Backend expected "question_augmentations"
- Analysis Nodes WITH questions configured sent empty array to backend
- Questions were never added to LLM prompt
Frontend workflowSerializer.js:
- Serialization: questions → question_augmentations (Backend field name)
- Deserialization: question_augmentations → questions (Frontend data object)
- Backward compatible: Falls back to "questions" for old workflows
Backend workflow_executor.py:
- Removed incorrect load_prompt_questions() function (was a misunderstanding)
- Back to original logic: Only use node.question_augmentations
- Simplified normalization logging
Impact:
- Analysis Node questions are now correctly sent to backend
- Questions augment the base prompt as intended
- LLM receives structured questions
- Decision signals are generated and accessible as placeholders
Example:
- Node configures question with id="q21"
- Signal becomes accessible as {{ node_2.signal_q21 }}
- Can be used in Logic Nodes and End Node templates
Issue: Workflow questions not sent to LLM (field name mismatch)
Version: 0.9p (workflow module)
Part 3: End Node Template Engine - Critical Fix
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Added new API endpoints for listing and updating widget-feature assignments, allowing for custom feature requirements.
- Introduced a new admin page for managing widget-feature assignments, enhancing the admin interface.
- Updated navigation to include a link to the new widget-feature assignments page.
- Refactored widget access logic to support AND-based feature requirements for widgets.
- Bumped app_dashboard version to 1.11.0 to reflect these changes and improvements.
- Added new API endpoints for managing the product dashboard standard, including retrieval, update, and deletion functionalities.
- Enhanced the DashboardConfigurePage to support admin mode for configuring the product dashboard standard.
- Updated the admin navigation to include a link for the product dashboard standard configuration.
- Refactored the dashboard layout logic to utilize the new product standard management features.
- Bumped app_dashboard version to 1.10.0 to reflect these enhancements and changes.
- Added drag-and-drop support for widget reordering in the dashboard configuration.
- Introduced a new search input for filtering widgets, enhancing user experience.
- Updated layout editor with a new function to move widgets between indices.
- Improved responsiveness by implementing viewport detection for drag-and-drop features.
- Refactored state management for better handling of widget visibility and search functionality.
- Updated dashboard layout schema to introduce separate default layouts for product and lab dashboards.
- Added new functions for managing product and lab default layouts, improving user customization options.
- Updated app_dashboard version to 1.9.0 to reflect the introduction of product vs lab layout defaults and new API fields for dashboard configuration.
- Enhanced tests to validate new layout functionalities and ensure proper widget visibility based on user settings.
- Added new "Dashboard-Lab-Widgets" entry to the documentation for better guidance on widget configuration.
- Updated the app_dashboard version to 1.8.0 to reflect the introduction of widget catalog features and layout entitlements.
- Enhanced widget catalog entries to include optional feature requirements for better visibility and access control.
- Improved the DashboardLabPage to manage widget visibility based on feature entitlements, ensuring a more tailored user experience.
- Introduced "nutrition_detail_charts", "recovery_charts_panel", and "progress_photos" widgets to the dashboard.
- Updated widget configuration validation to support new widgets, including chart days for nutrition and recovery charts.
- Enhanced the widget catalog and dashboard layout to include the new features.
- Bumped app_dashboard version to 1.7.0 to reflect these additions and improvements.
- Added support for the "quick_capture" widget, allowing users to configure visibility for weight and baseline vitals (resting HR, HRV, VO₂max).
- Implemented validation logic to ensure correct configuration input and prevent errors.
- Updated the widget catalog and dashboard layout to reflect the new quick capture features.
- Removed the "training_type_distribution" widget from the catalog as part of the refactor.
- Bumped app_dashboard version to 1.6.2 to incorporate these enhancements.
- Updated the dashboard layout schema to include new widgets: DashboardGreeting, QuickWeightToday, BodyStatStrip, StatusPills, ProfileGoalsProgress, TrendKcalWeight, NutritionActivitySummary, RecoverySleepRest, and TrainingTypeDistribution.
- Improved widget configuration validation to support new features, including chart days for trend and distribution widgets.
- Refactored the default lab layout to align with the updated widget catalog and ensure proper default activation.
- Bumped app_dashboard version to 1.6.0 to reflect the addition of new widgets and configuration enhancements.
- Enhanced the KPI board widget to support tile configuration, allowing users to select and order tiles.
- Updated validation logic to ensure proper handling of tile IDs and configuration fields.
- Removed legacy chart_days support, transitioning to a fixed analysis window for KPI metrics.
- Improved the DashboardLabPage to integrate the new KpiBoardConfigEditor for managing tile selections.
- Bumped app_dashboard version to 1.5.0 to reflect these significant changes.
- Fixed a syntax error in the recentNutr filter function by adding a closing parenthesis.
- Ensured proper calculation of kcal based on recent nutrition data.
- Added support for the "kpi_board" widget in the dashboard configuration, allowing for chart_days validation.
- Updated the widget catalog description to reflect the new configuration options for KPI tiles.
- Enhanced the DashboardLabPage to manage chart_days input for the KPI board, improving user experience.
- Introduced normalization functions for KPI kcal window days to maintain consistent behavior.
- Bumped app_dashboard version to 1.4.0 to reflect these enhancements.
- Added functions to handle Apple Health sleep data in both segment and summary formats.
- Implemented robust error handling for date parsing and data conversion.
- Updated documentation to reflect new CSV format support and data aggregation logic.
- Bumped version in version.py to reflect the changes in the activity module.
- Added support for the "activity_overview" widget in the dashboard configuration, allowing for chart_days validation.
- Refactored validation logic to streamline error handling for both "body_overview" and "activity_overview" widgets.
- Updated the widget catalog description to reflect the new configuration options.
- Enhanced the DashboardLabPage to manage chart_days input for both widgets, improving user experience.
- Bumped app_dashboard version to 1.3.0 to reflect these enhancements.
- Introduced a draft state for body chart days input to allow for temporary edits without immediate clamping.
- Updated input handling to support numeric input mode and improved accessibility with aria-label.
- Enhanced save and reset functionalities to manage the new draft state effectively.
- Refactored layout normalization to accommodate changes in body chart days configuration.
- Added validation for widget configuration in the DashboardWidgetEntry model to ensure proper data structure.
- Updated the DashboardLayoutPayload to include widget configuration in the serialized output.
- Improved the PilotBodySection and DashboardLabPage components to support dynamic chart days configuration for the body overview widget.
- Refactored layout editor functions to normalize widget configurations for better handling.
- Bumped app_dashboard version to 1.2.0 to reflect the new features and improvements.
- Integrated a new API endpoint for fetching the widget catalog in the Dashboard-Lab.
- Updated the dashboard layout schema to utilize the widget catalog for dynamic widget management.
- Refactored DashboardLabPage and PilotVizPage to leverage the new widget rendering system.
- Removed deprecated widget metadata from the frontend, streamlining the widget management process.
- Bumped app_dashboard version to 1.1.0 to reflect the new features and improvements.
- Added new routes and API endpoints for the Dashboard-Lab layout in the app.
- Updated main.py to include the app_dashboard router for backend integration.
- Enhanced App.jsx to include a route for the DashboardLabPage.
- Modified SettingsPage to add a link to the new Dashboard-Lab layout, improving user access to dashboard features.
- Updated version.py to reflect the new app_dashboard module version.
- Deleted unused components: GoalsSnapshotWidget, ReferenceValuesSummaryWidget, WeightKpiWidget, and PilotVizAdminCard.
- Removed associated layout storage and widget registry logic to streamline the pilot visualization module.
- Updated PilotVizPage to integrate new components for improved user experience and functionality.
- Replaced the previous widget retrieval method with a new layout-based approach in PilotVizPage.
- Introduced a PilotVizAdminCard for layout configuration and management.
- Updated widget definitions in the registry to include new components and default order.
- Enhanced user feedback for widget visibility with a message when no widgets are active.
- Bumped version of reference_values module to 1.3.0.
- Added new imports and functionality for reference values in the backend, enhancing data retrieval.
- Introduced a new PilotVizPage in the frontend for visualizing data, linked from the SettingsPage for easy access.
- Updated routing in App.jsx to include the new pilot visualization route.
- Introduced a new API endpoint for fetching a summary of profile reference values, providing the latest and previous entries for each reference type.
- Updated ProfileReferenceValuesPage to display summary tiles with trend indicators for better user insights.
- Enhanced CSS for responsive layout of reference value tiles, improving the overall user experience on different screen sizes.
- Implemented trend calculation logic to visually represent changes between the latest and previous reference values.
- Introduced a new SettingsShell layout for improved navigation within the settings section.
- Updated ProfileReferenceValuesPage to display the latest entry with enhanced styling and information.
- Removed the direct link to settings from ProfileReferenceValuesPage for a cleaner UI.
- Adjusted SettingsPage to streamline the layout and focus on essential settings options.
- Added a new API endpoint for reordering reference value types based on user-defined order.
- Updated the AdminReferenceValueTypesPage to allow users to reorder types using up/down buttons.
- Introduced a consistent confidence level sorting mechanism across the application.
- Refactored related components to remove unused sort order fields and improve user experience.
- Updated the backend to include new fields for validation rules and metadata in reference value types.
- Enhanced the AdminReferenceValueTypesPage to support new validation rules for different data types.
- Improved the ProfileReferenceValuesPage to handle validation and metadata for profile reference values.
- Added API endpoint for fetching reference value metadata enums to support frontend validation.
- Refactored frontend forms to incorporate new fields and validation logic for a better user experience.
- Refactored ProfileReferenceValuesPage to apply consistent styling for form elements and improve layout.
- Adjusted button styles for better visual consistency across the forms.
- Added new routes and API endpoints for managing reference value types in the admin section.
- Updated the frontend to include navigation and components for reference value types management.
- Enhanced the backend to support the new reference value types in the data layer and versioning.
- Introduced new routes and API endpoints for managing personal reference values.
- Updated the SettingsPage to include a section for reference values with navigation to manage them.
- Enhanced the backend to support reference values in the data layer and versioning.
- Added necessary imports and UI components for a seamless user experience.
- Added endpoints for listing and updating focus area usage types in the backend.
- Enhanced the AdminFocusAreasPage to display and manage allowed usage types for focus areas.
- Introduced a new state for usage types catalog and integrated it into the focus area editing process.
- Updated API utility functions to support new usage types operations.
- Enhanced the caliper listing and export functionalities to include enriched data from weight logs.
- Updated the upsert and update operations to utilize new composition functions for body composition calculations.
- Refactored the CaliperScreen component to streamline payload construction by removing unnecessary parameters.
- Removed Admin Panel from SettingsPage and adjusted related logic.
- Added EmailSettings component for SMTP configuration and testing.
- Created admin navigation structure in adminNav.js for better organization.
- Implemented AdminShell layout for consistent admin UI.
- Added RequireAdmin component to protect admin routes.
- Developed AdminHomePage for admin dashboard with navigation links.
- Created AdminSystemPage for SMTP settings and placeholder metadata export.
- Implemented AdminUsersPage for user management, including profile creation and editing.
Bug:
- Analysis nodes showed "Prompt #7edc6d6b-6cd5..." in canvas
- After re-selecting prompt, showed readable name "Pipeline: Ernährungs-Analyse"
- After loading workflow, showed UUID again
Root Cause:
- Serializer saved only prompt_id, not prompt_name
- Deserializer expected prompt_name but got null
- AnalysisNode fallback logic: data.prompt_name || `Prompt #{prompt_id}`
- Result: Showed UUID as fallback
Fix:
- workflowSerializer.js line 25: Added prompt_name to serialization
- Now saves both prompt_id AND prompt_name in graph_data
- On load: prompt_name is restored → AnalysisNode shows readable name
Testing:
- Create workflow with analysis node + prompt selection
- Save → Canvas should show "Pipeline: Körper-Analyse" (not UUID)
- Reload → Canvas should still show readable name (not UUID)
Debug Logs Added:
- useEffect: Log ID validation and loadWorkflow calls
- loadWorkflow: Log API response, graph_data, deserialization results
- handleNodeUpdate: Log updates and resulting node state
- handleSave: Log serialization, API calls, navigation
Bug Fixes:
- useEffect: Add !isNaN(parseInt(id)) check to prevent /api/prompts/NaN calls
- Prompt selection: String conversion for value prop (Number vs String mismatch)
- <select value={String(selectedNode.data.prompt_id)}>
- <option value={String(prompt.id)}>
- onChange: find with String(p.id) === promptId
Issues to Debug:
- Why does useEffect run with id=undefined after navigate?
- Why does loadWorkflow not populate nodes/edges?
- Why does prompt selection not persist?
Next Step: User tests with Browser Console open, reports logs
Frontend Fixes:
- AdminPromptsPage: Edit button navigates to workflow-editor for workflow type prompts
- WorkflowEditorPage: Fixed save navigation (alert before navigate)
- WorkflowEditorPage: selectedNode derived from selectedNodeId (eliminates stale state)
- FallbackConfig: Show node labels instead of IDs in fallback edge dropdown
- WorkflowCanvas: Enable edge deletion with deletable: true
- WorkflowEditorPage: Hide sidebar when config panel is open
Bugs Fixed:
- C1: Save error "Method Not Allowed" after success
- C2: Edit button in admin doesn't open workflow editor
- H1: Prompt selection not displayed when re-editing node
- H2: Fallback edge dropdown shows node_1/node_2 instead of names
- H3: Cannot delete edges
- M1: Sidebar takes space when config panel open
Technical Changes:
- Replaced useState(selectedNode) with useState(selectedNodeId) + derived selectedNode
- Removed sync useEffect (no longer needed with derived state)
- Added nodes prop to FallbackConfig for label lookup
- Swapped alert/navigate order to prevent navigation errors
Testing: Manual testing required (see manual test cases)
Behebt 5 kritische Bugs die Editor unbenutzbar machten:
BUG-01: Config Panel - Close Button hinzugefügt (×)
- User war im Config Panel "gefangen"
- Jetzt: Click × zum Deselektieren
BUG-02: Save UX - Validierungs-Feedback verbessert
- Speichern-Button zeigt Lock-Icon (🔒) bei Fehlern
- Tooltip erklärt warum Speichern blockiert ist
- Error-Message mit Hinweis auf Validierung
BUG-03: Analysis Node - Prompt-Auswahl implementiert
- Dropdown zum Auswählen von Basis-Prompts
- Lädt verfügbare Prompts via API
- Zeigt gewählten Prompt-Namen an
BUG-04: Label-Input - UX verbessert
- Header zeigt "Node-Konfiguration" (nicht Label)
- Input hat Placeholder und Hilfetext
- "Änderungen automatisch übernommen" Hinweis
BUG-05: Admin Page - "Neuer Workflow" Button
- Button neben "+ Neuer Prompt"
- Navigiert zu /workflow-editor/new
- Workflow-Filter im Type-Filter hinzugefügt
Tested: Manuell durch User (alle Bugs bestätigt gefixt)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Start value already showed start_date in parentheses
- Now target value also shows target_date in parentheses
- Consistent UX: both dates visible at their respective values
**Problem 1:** Edit form showed today's date instead of stored start_date
- Cause: Fallback logic `goal.start_date || today` always defaulted to today
- Fix: Load actual date or empty string (no fallback)
- Input field: Remove fallback from value binding
**Problem 2:** Timeline only showed target_date, not start_date
- Added dedicated timeline display below values
- Shows: "📅 15.01.26 → 31.05.26"
- Only appears if at least one date exists
- Start date with calendar icon, target date bold
**Result:**
- Editing goals now preserves the start_date ✓
- Timeline clearly shows start → target dates ✓
- No more accidental overwrites with today's date ✓
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
**Bug:** start_date was not being loaded into edit form or sent in update request
**Fixed:**
1. handleEditGoal() - Added start_date to formData when editing
2. handleSaveGoal() - Added start_date to API payload for both create and update
Now when editing a goal:
- start_date field is populated with existing value
- Changing start_date triggers backend to recalculate start_value
- Update request includes start_date
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Added start_date field to goal creation/editing form:
1. New "Startdatum" input field before "Zieldatum"
- Defaults to today
- Hint: "Startwert wird automatisch aus historischen Daten ermittelt"
2. Display start_date in goals list
- Shows next to start_value: "85 kg (01.01.26)"
- Compact format for better readability
3. Updated formData state
- Added start_date with today as default
- API calls automatically include it
User can now:
- Set historical start date (e.g., 3 months ago)
- Backend auto-populates start_value from that date
- See exact start date and value for each goal
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
**Bug 1: Focus contributions not saved**
- GoalsPage: Added focus_contributions to data object (line 232)
- Was missing from API payload, causing loss of focus area assignments
**Bug 2: Filter focus areas in goal form**
- Only show focus areas user has weighted (weight > 0)
- Cleaner UX, avoids confusion with non-prioritized areas
- Filters focusAreasGrouped by userFocusWeights
**Bug 3: Vitals RHR entry - Internal Server Error**
- Fixed: Endpoint tried to INSERT into vitals_log (renamed in Migration 015)
- Now uses vitals_baseline table (correct post-migration table)
- Removed BP fields from baseline endpoint (use /blood-pressure instead)
- Backward compatible return format
All fixes tested and ready for production.
**Migration 032:**
- user_focus_area_weights table (profile_id, focus_area_id, weight)
- Migrates legacy 6 preferences to dynamic weights
**Backend (focus_areas.py):**
- GET /user-preferences: Returns dynamic focus weights with percentages
- PUT /user-preferences: Saves user weights (dict: focus_area_id → weight)
- Auto-calculates percentages from relative weights
- Graceful fallback if Migration 032 not applied
**Frontend (GoalsPage.jsx):**
- REMOVED: Goal Mode cards (obsolete)
- REMOVED: 6 hardcoded legacy focus sliders
- NEW: Dynamic focus area cards (weight > 0 only)
- NEW: Edit mode with sliders for all 26 areas (grouped by category)
- Clean responsive design
**How it works:**
1. Admin defines focus areas in /admin/focus-areas (26 default)
2. User sets weights for areas they care about (0-100 relative)
3. System calculates percentages automatically
4. Cards show only weighted areas
5. Goals assign to 1-n focus areas (existing functionality)
- Restored GOAL_MODES constant and selection cards at top
- Fixed focusAreas/focusPreferences variable confusion
- Legacy 6 focus preferences show correctly in Fokus-Bereiche card
- Dynamic 26 focus areas should display in goal form
- Goal Mode cards now visible and functional again
- Line 60: focusPreferences (user's legacy preferences)
- Line 74: focusAreas (focus area definitions)
- Updated all references to avoid name collision
- Fixes build error in vite
**Goal Form Extended:**
- Load focus area definitions on page load
- Multi-Select UI grouped by category (7 categories)
- Chip-style selection (click to toggle)
- Weight sliders per selected area (0-100%)
- Selected areas highlighted in accent color
- Focus contributions saved/loaded on create/edit
**Goal Cards:**
- Focus Area badges below status
- Shows icon + name + weight percentage
- Hover shows full details
- Color-coded (accent-light background)
**Integration Complete:**
- State: focusAreas, focusAreasGrouped
- Handlers: handleCreateGoal, handleEditGoal
- Data flow: Backend → Frontend → Display
**Result:**
- User can assign goals to multiple focus areas
- Visual indication of what each goal contributes to
- Foundation for Phase 0b (goal-aware AI scoring)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- AdminFocusAreasPage: Full CRUD for focus area definitions
- Route: /admin/focus-areas
- AdminPanel: Link zu Focus Areas (neben Goal Types)
- api.js: 7 neue Focus Area Endpoints
Features:
- Category-grouped display (7 categories)
- Inline editing
- Active/Inactive toggle
- Create form with validation
- Show/Hide inactive areas
Next: Goal Form Multi-Select
Implemented progress tracking system for all goals.
**Backend:**
- Migration 030: goal_progress_log table with unique constraint per day
- Trigger: Auto-update goal.current_value from latest progress
- Endpoints: GET/POST/DELETE /api/goals/{id}/progress
- Pydantic Models: GoalProgressCreate, GoalProgressUpdate
**Features:**
- Manual progress tracking for custom goals (flexibility, strength, etc.)
- Full history with date, value, note
- current_value always reflects latest progress entry
- One entry per day per goal (unique constraint)
- Cascade delete when goal is deleted
**API:**
- GET /api/goals/{goal_id}/progress - List all entries
- POST /api/goals/{goal_id}/progress - Log new progress
- DELETE /api/goals/{goal_id}/progress/{progress_id} - Delete entry
**Next:** Frontend UI (progress button, modal, history list)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Enhanced fallback chain for goal display:
1. goal.name (custom name if set)
2. goal.label_de (from backend JOIN)
3. typeInfo.label_de (from goalTypesMap)
4. goal.goal_type (raw key as last resort)
Also use goal.icon from backend if available.
Fixes: Empty goal names showing blank in list
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Fixed multiple issues with relative weight sliders:
1. Sanitize focusData on load (ensure all 6 fields are numeric)
2. Sync focusTemp when clicking "Anpassen" button
3. Robust sum calculation filtering only *_pct fields
4. Convert NaN/undefined to 0 in all calculations
5. Safe Number() coercion before normalization
Fixes errors:
- "Gewichtung gesamt: NaN"
- "Input should be a valid integer, input: null"
- Prozent always showing 0%
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Improved UX for focus area configuration:
- Sliders now use relative weights (0-10) instead of percentages
- System automatically normalizes to percentages (sum=100%)
- Live preview shows "weight → percent%" (e.g., "5 → 50%")
- No more manual balancing required from user
User sets: Kraft=5, Ausdauer=3, Flexibilität=2
System calculates: 50%, 30%, 20%
Addresses user feedback: "Summe muss 100% sein" not user-friendly
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Replaces single goal mode cards with weighted multi-focus system
UI Features:
- 6 sliders for focus dimensions (5% increments)
- Live sum calculation with visual feedback
- Validation: Sum must equal 100%
- Color-coded sliders per dimension
- Edit/Display mode toggle
- Shows derived values if not customized
UX Flow:
1. Default: Shows focus distribution (bars)
2. Click 'Anpassen': Shows sliders
3. Adjust percentages (sum = 100%)
4. Save → Updates backend + reloads
Visual:
- Active dimensions shown as colored cards (display mode)
- Gradient sliders with percentage labels (edit mode)
- Green box when sum = 100%, red when != 100%
- Info message if derived from old goal_mode
Complete v2.0:
✅ Backend (Migration 027, API, get_focus_weights V2)
✅ Frontend (Slider UI, state management, validation)
✅ Auto-migration (goal_mode → focus_areas)
Ready for: KI-Integration with weighted scoring
BREAKING: Replaces single 'primary goal' with weighted multi-goal system
Migration 027:
- New table: focus_areas (6 dimensions with percentages)
- Constraint: Sum must equal 100%
- Auto-migration: goal_mode → focus_areas for existing users
- Unique constraint: One active focus_areas per profile
Backend:
- get_focus_weights() V2: Reads from focus_areas table
- Fallback: Uses goal_mode if focus_areas not set
- New endpoints: GET/PUT /api/goals/focus-areas
- Validation: Sum=100, range 0-100
API:
- getFocusAreas() - Get current weights
- updateFocusAreas(data) - Update weights (upsert)
Focus dimensions:
1. weight_loss_pct (Fettabbau)
2. muscle_gain_pct (Muskelaufbau)
3. strength_pct (Kraftsteigerung)
4. endurance_pct (Ausdauer)
5. flexibility_pct (Beweglichkeit)
6. health_pct (Allgemeine Gesundheit)
Benefits:
- Multiple goals with custom priorities
- More flexible than single primary goal
- KI can use weighted scores
- Ready for Phase 0b placeholder integration
UI: Coming in next commit (slider interface)
NEW FEATURE: Filter conditions for goal types
Enables counting/aggregating specific subsets of data.
Example use case: Count only strength training sessions per week
- Create goal type with filter: {"training_type": "strength"}
- count_7d now counts only strength training, not all activities
Implementation:
- Migration 026: filter_conditions JSONB column
- Backend: Dynamic WHERE clause building from JSON filters
- Supports single value: {"training_type": "strength"}
- Supports multiple values: {"training_type": ["strength", "hiit"]}
- Works with all 8 aggregation methods (count, avg, sum, min, max)
- Frontend: JSON textarea with example + validation
- Pydantic models: filter_conditions field added
Technical details:
- SQL injection safe (parameterized queries)
- Graceful degradation (invalid JSON ignored with warning)
- Backward compatible (NULL filters = no filtering)
Answers user question: 'Kann ich Trainingstypen wie Krafttraining separat zählen?'
Answer: YES! 🎯
Admin can now easily create custom goal types:
- New endpoint /api/goals/schema-info with table/column metadata
- 9 tables documented (weight, caliper, activity, nutrition, sleep, vitals, BP, rest_days, circumference)
- Table dropdown with descriptions (e.g., 'activity_log - Trainingseinheiten')
- Column dropdown dependent on selected table
- All columns documented in German with data types
- Fields optional (for complex calculation formulas)
UX improvements:
- No need to guess table/column names
- Clear descriptions for each field
- Type-safe selection (no typos)
- Cascading dropdowns (column depends on table)
Closes user feedback: 'Admin weiß nicht welche Tabellen/Spalten verfügbar sind'
Removed faulty EXISTS check that was causing "0" error.
Added debug logging and better error messages.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Check if goal_type_definitions table exists
- Detailed error messages
- Fallback if goalTypes is empty
- Prevent form opening without types
Helps debugging Migration 024 issues.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Based on test feedback - 3 issues addressed:
1. Primary Toggle (Frontend Debug):
- Add console.log in handleSaveGoal
- Shows what data is sent to backend
- Helps debug if checkbox state is correct
2. Lean Mass Display (Backend Debug):
- Add error handling in lean_mass calculation
- Log why calculation fails (missing weight/bf data)
- Try-catch for value conversion errors
3. BP/Strength/Flexibility Warning (UI):
- Yellow warning box for incomplete goal types
- BP: "benötigt 2 Werte (geplant für v2.0)"
- Strength/Flexibility: "Keine Datenquelle"
- Transparent about limitations
Next: User re-tests with debug output to identify root cause.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Analysis Page:
- Add 'Ziele' button next to page title
- Direct navigation to /goals from analysis page
- Thematic link: goals influence AI analysis weighting
Goals Page:
- Fix text-align for text inputs (name, date, description)
- Text fields now left-aligned (numbers remain right-aligned)
- Better UX for non-numeric inputs
Navigation strategy: Goals accessible from Analysis page where
goal_mode directly impacts score calculation and interpretation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Full-width inputs throughout the form
- Labels above inputs (mobile best practice)
- Section headers with emoji (🎯 Zielwert)
- Consistent spacing (marginBottom: 16)
- Read-only unit display as styled badge
- Primary goal checkbox in highlighted section
- Full-width buttons (btn-full class)
- Scrollable modal with top padding
- Error display above form
Matches VitalsPage design pattern for consistency.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend:
- Add ALL stage outputs to metadata (not just referenced ones)
- Format JSON with indent for readability
- Description: 'Zwischenergebnis aus Stage X'
Frontend:
- Stage raw values shown in collapsible <details> element
- JSON formatted in <pre> tag with syntax highlighting
- 'JSON anzeigen ▼' summary for better UX
Fixes: Stage X - Rohdaten now shows intermediate results
BUG: Wertetabelle wurde nicht angezeigt bei neuer Analyse
ROOT CAUSE: newResult hatte nur {scope, content}, kein metadata
FIX: Build metadata from result.debug.resolved_placeholders
- Für Base: direkt aus resolved_placeholders
- Für Pipeline: collect aus allen stages
- Metadata structure: {prompt_type, placeholders: {key: {value, description}}}
NOTE: Immediate preview hat keine descriptions (nur values)
Saved insights (nach loadAll) haben full metadata with descriptions aus DB
version: 9.6.2 (bugfix)
BUG: Wertetabelle wurde nicht angezeigt
FIX: enable_debug=true wenn save=true (für metadata collection)
- metadata wird nur gespeichert wenn debug aktiv
- jetzt: debug or save → metadata immer verfügbar
BUG: {{placeholder|d}} Modifier funktionierte nicht
ROOT CAUSE: catalog wurde bei Exception nicht zu variables hinzugefügt
FIX:
- variables['_catalog'] = catalog (auch wenn None)
- Warning-Log wenn catalog nicht geladen werden kann
- Debug warning wenn |d ohne catalog verwendet
BUG: Platzhalter in Pipeline-Stages am Ende statt an Cursor
FIX:
- stageTemplateRefs Map für alle Stage-Textareas
- onClick + onKeyUp tracking für Cursor-Position
- Insert at cursor: template.slice(0, pos) + placeholder + template.slice(pos)
- Focus + Cursor restore nach Insert
TECHNICAL:
- prompt_executor.py: Besseres Exception Handling für catalog
- UnifiedPromptModal.jsx: Refs für alle Template-Felder
- prompts.py: enable_debug=debug or save
version: 9.6.1 (bugfix)
module: prompts 2.1.1
Added "📋 Platzhalter exportieren" button in debug viewer:
- Exports all resolved placeholders with values
- Includes all available_variables
- For pipelines: exports per-stage placeholder data
- JSON format with timestamp and prompt metadata
- Filename: placeholders-{slug}-{date}.json
Use case: Development aid - see exactly what data is available
for prompt templates without null values.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
BREAKING: Analysis page switched from old /insights/run to new /prompts/execute
Changes:
- Backend: Added save=true parameter to /prompts/execute
- When enabled, saves final output to ai_insights table
- Extracts content from pipeline output (last stage)
- Frontend api.js: Added save parameter to executeUnifiedPrompt()
- Frontend Analysis.jsx: Switched from api.runInsight() to api.executeUnifiedPrompt()
- Transforms new result format to match InsightCard expectations
- Pipeline outputs properly extracted and displayed
Fixes: PIPELINE_MASTER responses (old template being sent to AI)
The old /insights/run endpoint used raw template field, which for the
legacy "pipeline" prompt was literally "PIPELINE_MASTER". The new
executor properly handles stages and data processing.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Removed conditional hiding of test button (prompt?.slug)
- Button now always visible with helpful tooltip
- handleTest already has save-check logic
Improves discoverability of test functionality.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Frontend: debug viewer now shows even when test fails
- Frontend: export button to download complete prompt config as JSON
- Backend: attach debug info to JSON validation errors
- Backend: include raw output and length in error details
Users can now debug failed prompts and export configs for analysis.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Backend: debug mode in prompt_executor with placeholder tracking
- Backend: show resolved/unresolved placeholders, final prompts, AI responses
- Frontend: test button in UnifiedPromptModal for saved prompts
- Frontend: debug output viewer with JSON preview
- Frontend: wider placeholder example fields in PlaceholderPicker
Resolves pipeline execution debugging issues.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- PlaceholderPicker: Example values in separate full-width row
- Analysis.jsx: Show only pipeline-type prompts
- Analysis.jsx: Remove base prompts and Prompts tab
- Cleanup: Remove PromptEditor component and unused imports
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Major improvements:
1. PlaceholderPicker component (new)
- Loads placeholders dynamically from backend catalog
- Grouped by categories: Profil, Körper, Ernährung, Training, etc.
- Search/filter functionality
- Shows live example values from user data
- Popup modal with expand/collapse categories
2. Replaced hardcoded placeholder chips
- 'Platzhalter einfügen' button opens picker
- Works in both base templates and pipeline inline templates
- Auto-closes after selection
3. Uses existing backend system
- GET /api/prompts/placeholders
- placeholder_resolver.py with PLACEHOLDER_MAP
- Dynamic, module-based placeholder system
- No manual updates needed when modules add new placeholders
Benefits:
- Scalable: New modules can add placeholders without frontend changes
- User-friendly: Search and categorization
- Context-aware: Shows real example values
- Future-proof: Backend-driven catalog
New features:
1. Placeholder chips now visible in pipeline inline templates
- Click to insert: weight_data, nutrition_data, activity_data, etc.
- Same UX as base prompts
2. Convert to Base Prompt button
- New icon (ArrowDownToLine) in actions column
- Only visible for 1-stage pipeline prompts
- Converts pipeline → base by extracting inline template
- Validates: must be 1-stage, 1-prompt, inline source
This allows migrated prompts to be properly categorized as base prompts
for reuse in other pipelines.
Fixes:
1. Template field in stages now full width (was too narrow)
2. Table horizontal scrollbar for mobile (overflow-x: auto)
3. Table min-width 900px to prevent icon clipping
4. Added clickable placeholder chips below base template
- Click to insert placeholders into template
- Shows: weight_data, nutrition_data, activity_data, sleep_data, etc.
UI now mobile-ready and more user-friendly.
Migration 018:
- Add display_name column to ai_prompts
- Migrate existing prompts from hardcoded SLUG_LABELS
- Fallback: name if display_name is NULL
Backend:
- PromptCreate/Update models with display_name field
- create/update/duplicate endpoints handle display_name
- Fallback: use name if display_name not provided
Frontend:
- PromptEditModal: display_name input field
- Placeholder picker: button + dropdown with all placeholders
- Shows example values, inserts {{placeholder}} on click
- Analysis.jsx: use display_name instead of SLUG_LABELS
User-facing changes:
- Prompts now show custom display names (e.g. '🍽️ Ernährung')
- Admin can edit display names instead of hardcoded labels
- Template editor has 'Platzhalter einfügen' button
- No more hardcoded SLUG_LABELS in frontend
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- PromptEditModal: all inputs/textareas now full-width
- Labels positioned above fields (not inline)
- Text left-aligned (was right-aligned)
- Added resize:vertical for textareas
- Side-by-side comparison with word-wrap
- Follows app-wide form design pattern
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Frontend components:
- PromptEditModal.jsx: Full editor with preview, generator, optimizer
- PromptGenerator.jsx: KI-assisted prompt creation from goal description
- Extended api.js with 10 new prompt endpoints
Navigation:
- Added /admin/prompts route to App.jsx
- Added KI-Prompts section to AdminPanel with navigation button
Features complete:
✅ Admin can create/edit/delete/duplicate prompts
✅ Category filtering and reordering
✅ Preview prompts with real user data
✅ KI generates prompts from goal + example data
✅ KI analyzes and optimizes existing prompts
✅ Side-by-side comparison original vs optimized
Ready for testing: http://dev.mitai.jinkendo.de/admin/prompts
Issue #28 Phase 2 complete - 13-18h estimated, ~14h actual
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Backend complete:
- Migration 017: Add category column to ai_prompts
- placeholder_resolver.py: 20+ placeholders with resolver functions
- Extended routers/prompts.py with CRUD endpoints:
* POST /api/prompts (create)
* PUT /api/prompts/:id (update)
* DELETE /api/prompts/:id (delete)
* POST /api/prompts/:id/duplicate
* PUT /api/prompts/reorder
* POST /api/prompts/preview
* GET /api/prompts/placeholders
* POST /api/prompts/generate (KI-assisted generation)
* POST /api/prompts/:id/optimize (KI analysis)
- Extended models.py with PromptCreate, PromptUpdate, PromptGenerateRequest
Frontend:
- AdminPromptsPage.jsx: Full CRUD UI with category filter, reordering
Meta-Features:
- KI generates prompts from goal description + example data
- KI analyzes and optimizes existing prompts
Next: PromptEditModal, PromptGenerator, api.js integration
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Removed local quality filter UI from History page since backend now
handles filtering globally. Activities are already filtered when loaded.
Changes:
- Removed qualityLevel local state
- Simplified filtA to only filter by period
- Replaced filter buttons with info banner showing active global filter
- Added 'Hier ändern →' link to Settings
User can now only change quality filter in Settings (global), not per
page. History shows which filter is active with link to change it.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The component was loading data from backend (which uses global filter)
but useEffect dependency didn't include quality_filter_level, so it
didn't reload when user changed the filter in Settings.
Added useProfile() context and activeProfile.quality_filter_level
to dependency array.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Implemented global quality_filter_level in user profiles for consistent
data filtering across all views (Dashboard, History, Charts, KI-Pipeline).
Backend changes:
- Migration 016: Add quality_filter_level column to profiles table
- quality_filter.py: Centralized helper functions for SQL filtering
- insights.py: Apply global filter in _get_profile_data()
- activity.py: Apply global filter in list_activity()
Frontend changes:
- SettingsPage.jsx: Add Datenqualität section with 4-level selector
- History.jsx: Use global quality filter from profile context
Filter levels: all, quality (good+excellent+acceptable), very_good
(good+excellent), excellent (only excellent)
Closes#31
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Statt einfachem On/Off Toggle jetzt 4 Qualitätsstufen:
- 📊 Alle (kein Filter)
- ✓ Hochwertig (excellent + good + acceptable)
- ✓✓ Sehr gut (excellent + good)
- ⭐ Exzellent (nur excellent)
UI:
- Button-Group (Segmented Control) mit 4 Stufen
- Beschreibung welche Labels inkludiert werden
- Anzeige: X von Y Aktivitäten (wenn gefiltert)
User-Feedback: Stufenweiser Filter ist flexibler als binärer Toggle
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Problem: Errors during import were logged but not visible to user.
Changes:
- Backend: Collect error messages and return in response (first 10 errors)
- Frontend: Display error details in import result box
- UI: Red background when errors > 0, shows detailed error messages
Now users can see exactly which rows failed and why.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Full-width fields with section headers (mobile-friendly)
- Inline editing for all measurements (edit mode per row)
- Smart upsert: date change loads existing entry → update instead of duplicate
- Units integrated into labels (no overflow)
- Baseline: auto-detects existing entry and switches to update mode
- Blood Pressure: inline editing with all fields (date, time, BP, context, flags)
- Edit/Save/Cancel buttons with lucide-react icons
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Einfache 3-Tab-Struktur als Platzhalter:
- Morgenmessung (Baseline)
- Blutdruck (BP)
- Import
Verhindert Crash durch alte API-Calls.
Vollständige UI folgt nach Backend-Test.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
**Backend (insights.py):**
- Extended _get_profile_data() to fetch sleep, rest_days, vitals
- Added template variables for Sleep Module:
{{sleep_summary}}, {{sleep_detail}}, {{sleep_avg_duration}}, {{sleep_avg_quality}}
- Added template variables for Rest Days:
{{rest_days_summary}}, {{rest_days_count}}, {{rest_days_types}}
- Added template variables for Vitals:
{{vitals_summary}}, {{vitals_detail}}, {{vitals_avg_hr}}, {{vitals_avg_hrv}},
{{vitals_avg_bp}}, {{vitals_vo2_max}}
**Frontend (Analysis.jsx):**
- Added 12 new template variables to VARS list in PromptEditor
- Enables AI prompt creation for Sleep, Rest Days, and Vitals analysis
All modules now have AI evaluation support for future prompt creation.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Import endpoints for Omron blood pressure CSV (German date format)
- Import endpoints for Apple Health vitals CSV
- Import UI tab in VitalsPage with drag & drop for both sources
- German month mapping for Omron date parsing ("13 März 2026")
- Upsert logic preserves manual entries (source != 'manual')
- Import result feedback (inserted/updated/skipped/errors)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Form sections:
- Morgenmessung: Ruhepuls, HRV
- Blutdruck (Omron): Systolisch, Diastolisch, Puls
- Fitness & Sauerstoff (Apple Watch): VO2 Max, SpO2, Atemfrequenz
- Warnungen: Unregelmäßiger Herzschlag, Mögliches AFib (checkboxes)
Display:
- All vitals shown in entry list with icons
- Blood pressure highlighted in red (🩸)
- VO2 Max in green (🏃)
- Warnings in orange (⚠️)
Stats overview:
- Dynamic grid showing available metrics
- Avg blood pressure 7d
- Latest VO2 Max
- Avg SpO2 7d
Save/Update:
- Only non-empty fields included in payload
- At least one vital must be provided
Ready for manual testing + import implementation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Only include fields in payload if they have values
- Prevents sending empty strings to backend (Pydantic validation error)
- Applies to both create and update operations
Error was: 'Input should be a valid integer, unable to parse string as an integer'
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
